• Product Manager - Analytics and AI

    Location US-MA-Cambridge
  • Overview

    Do you dream of designing products that have a positive impact on a global scale?  Are you passionate about the domain of data analytics and machine learning? Join InterSystems and help steer our InterSystems IRIS Data Platform. You will be the subject matter expert and advocate for modern data analysts and data scientists, across a wide range of analytics domains including BI, Text Analytics, Predictive Modeling, and Machine Learning.


    We’re looking for a senior Product Manager who can drive the vision and roadmap for our advanced analytics.  You'll work closely with multiple groups in the company to define the vision, identify opportunities, ensure success of advanced customer and partner projects and scenarios, and field innovative product capabilities.   We have a “native plus open” approach, so you’ll also ensure that our product works with the most important open source and 3rd-party analytics and AI stacks.   The ideal candidate has a solid hands-on understanding of multiple analytics disciplines, strong cross-functional and communication skills, and good instincts for balancing process vs value. 




    • Collect, synthesize and prioritize market feedback; identify distinctive product competencies, competitive advantages and weaknesses, and important market trends to find the best market opportunities.
    • Drive the product roadmap for analytics; prioritize market opportunities based on impact and alignment with our long term strategy and translate them to features and projects.
    • Collaborate with cross-functional teams to quickly and successfully build and launch new products.
    • Create scenarios and reference applications that leverage our data platform with leading-edge analytics frameworks and tools for BI and Machine Learning.
    • Synthesize quantitative and qualitative analysis, and translate these insights into products that will grow the InterSystems ecosystem.


    • Significant product management experience including 10+ years leading successful products across multiple releases. Demonstrated success defining and launching excellent products.
    • Strong domain expertise in multiple Analytics areas including BI, Predictive Modeling, and Machine Learning.

    Education and Training

    • Master's degree in Computer Science or a related technical field.
    • Practical experience with combining commercial and open-source software to build out compelling Machine Learning and Analytics solutions.

    Come innovate with us

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